lu-group / deeponet-fnoLinks
A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
☆315Updated 2 years ago
Alternatives and similar repositories for deeponet-fno
Users that are interested in deeponet-fno are comparing it to the libraries listed below
Sorting:
- ☆360Updated 2 years ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆332Updated 11 months ago
- ☆472Updated 4 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆266Updated 2 months ago
- ☆170Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆238Updated 3 years ago
- ☆218Updated 3 years ago
- Fourier_neural_operator☆15Updated 2 years ago
- ☆145Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆137Updated 3 years ago
- ☆144Updated 9 months ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆107Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆85Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆210Updated 7 months ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆194Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆181Updated 2 years ago
- ☆327Updated 3 months ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆155Updated last year
- Learning nonlinear operators via DeepONet☆685Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆320Updated last year
- ☆57Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆203Updated 2 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆437Updated last month
- A place to share problems solved with SciANN☆285Updated last year
- physics-informed neural network for elastodynamics problem☆144Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆234Updated 4 years ago
- PINN in solving Navier–Stokes equation☆107Updated 5 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆647Updated last year
- Physics-informed learning of governing equations from scarce data☆149Updated 2 years ago